The importance of non-Newtonian fluid (Casson fluid) in industry is increasingly
appreciated. However, little is known about the flow rheology of Casson fluid flowing over a …

This paper presents an analytical approach on capturing the effect of incompressible, non-
Newtonian, viscous, Casson nanofluid flow past a stretching/shrinking surface, under the …

This work revealed the investigation of the Casson nanofluid flow's MHD (magneto-
hydrodynamic) unstable boundary layer characteristics in the simultaneous transmission of …

The primary goal of this research is to present a novel computational intelligence approach
of the AI-based Levenberg–Marquardt scheme under the influence of backpropagated …

Purpose This study aims to model the important flow response quantities over a shrinking
wedge with the help of response surface methodology (RSM) and an artificial neural …

The current study proposes the technique of intelligent numerical computing using back-
propagated neural networks (BNNs) for the numerical treatment of a magnet cross …

This study examines the effects of a porous media and thermal radiation on Casson-based
nano liquid movement over a curved extending surface. The governing equations are …

The current study explores the behavior of particle shape on the radiative flow of Casson
hybrid nanofluid towards an expanding/contracting convective sheet. The nanofluid under …

The artificial intelligence based neural networking with Back Propagated Levenberg-
Marquardt method (NN-BPLMM) is developed to explore the modeling of double‐diffusive …

Electro-periodic Magneto-hydrodynamics (EPMHD), activation energy, and non-linear
radiation are pivotal elements in engineering and industry also contribute to advancements …